Correlation Between SPDR Portfolio and ST Bancorp
Can any of the company-specific risk be diversified away by investing in both SPDR Portfolio and ST Bancorp at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining SPDR Portfolio and ST Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Portfolio Mortgage and ST Bancorp, you can compare the effects of market volatilities on SPDR Portfolio and ST Bancorp and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in SPDR Portfolio with a short position of ST Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Portfolio and ST Bancorp.
Diversification Opportunities for SPDR Portfolio and ST Bancorp
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between SPDR and STBA is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Portfolio Mortgage and ST Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ST Bancorp and SPDR Portfolio is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on SPDR Portfolio Mortgage are associated (or correlated) with ST Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ST Bancorp has no effect on the direction of SPDR Portfolio i.e., SPDR Portfolio and ST Bancorp go up and down completely randomly.
Pair Corralation between SPDR Portfolio and ST Bancorp
Given the investment horizon of 90 days SPDR Portfolio Mortgage is expected to generate 0.21 times more return on investment than ST Bancorp. However, SPDR Portfolio Mortgage is 4.85 times less risky than ST Bancorp. It trades about -0.05 of its potential returns per unit of risk. ST Bancorp is currently generating about -0.06 per unit of risk. If you would invest 2,194 in SPDR Portfolio Mortgage on February 28, 2025 and sell it today you would lose (29.00) from holding SPDR Portfolio Mortgage or give up 1.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Portfolio Mortgage vs. ST Bancorp
Performance |
Timeline |
SPDR Portfolio Mortgage |
ST Bancorp |
SPDR Portfolio and ST Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Portfolio and ST Bancorp
The main advantage of trading using opposite SPDR Portfolio and ST Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Portfolio position performs unexpectedly, ST Bancorp can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ST Bancorp will offset losses from the drop in ST Bancorp's long position.SPDR Portfolio vs. SPDR Portfolio Intermediate | SPDR Portfolio vs. iShares 5 10 Year | SPDR Portfolio vs. SPDR Barclays Long | SPDR Portfolio vs. SPDR Barclays Intermediate |
ST Bancorp vs. Enterprise Financial Services | ST Bancorp vs. First Bancorp | ST Bancorp vs. Home Bancorp | ST Bancorp vs. Heritage Financial |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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